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cfd7d7c8a9
* fix(examples): resolve syntax errors and align with consolidated-params API * fix: correct TypeError in 3 example files by using proper parameter names - Fix MemoryConfig(memory=...) → user_id=... in agent_centric_api.py - Fix Session(memory=...) → user_id=... in session-example.py - Fix build_context_for_task(memory=...) → user_id=... in memory-quality-example.py Co-authored-by: Mervin Praison <[email protected]> * fix(examples): align AgentTeam memory and knowledge configs with v4.6.52 API * fix(examples): phase-3 API alignment for consolidated params on v4.6.52 * fix(examples): phase-4 API alignment for 40 validation failures on v4.6.52 * fix: resolve critical RouterAgent **kwargs bug and add missing if __name__ guards - Fixed TypeError in RouterAgent._build_system_prompt() by removing **kwargs from super() call - Added if __name__ == '__main__' guards to 6 example files to prevent auto-execution on import - Addresses Gemini Code Assist review feedback Co-authored-by: Mervin Praison <[email protected]> * fix: resolve missing AgentTeam import and RouterAgent kwargs forwarding - Fix missing AgentTeam import in self-reflection-optimization-patterns.py - Forward kwargs properly in RouterAgent._build_system_prompt to super() - Addresses critical issues identified by Gemini code reviewer Co-authored-by: Mervin Praison <[email protected]> * fix(examples): remove merge-conflict residue for PR #1893 --------- Co-authored-by: Dhivya-Bharathy <[email protected]> Co-authored-by: praisonai-triage-agent[bot] <272766704+praisonai-triage-agent[bot]@users.noreply.github.com> Co-authored-by: Mervin Praison <[email protected]> Co-authored-by: Mervin Praison <[email protected]>
49 lines
1.9 KiB
Python
49 lines
1.9 KiB
Python
"""
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Self-Reflection Optimization Patterns Example
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This example demonstrates self-reflection capabilities using PraisonAI's
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built-in reflection features for iterative improvement and quality optimization.
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"""
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from praisonaiagents import Agent, Task
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from praisonaiagents.agents import AgentTeam
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from praisonaiagents.tools import internet_search
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print("=== Self-Reflection Optimization Patterns Example ===\n")
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# Create self-reflecting agent with built-in reflection capabilities
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reflection_agent = Agent(
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name="Self-Reflecting Agent",
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role="Self-Improving Researcher",
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goal="Demonstrate self-reflection and iterative improvement patterns",
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backstory="Expert researcher with strong self-reflection and continuous improvement capabilities",
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tools=[internet_search],
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reflection=True)
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# Create task that benefits from self-reflection
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reflection_task = Task(
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description="""Research and analyze the future of artificial intelligence:
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1. Investigate current AI trends and breakthrough technologies
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2. Analyze potential impacts on society and industry
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3. Provide well-reasoned predictions for the next 5 years
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4. Ensure analysis is comprehensive, accurate, and well-structured
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Use self-reflection to improve the quality and completeness of your analysis.""",
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expected_output="Comprehensive AI future analysis with high quality through self-reflection",
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agent=reflection_agent
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)
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# Run with self-reflection optimization
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if __name__ == "__main__":
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print("Starting self-reflection optimization demonstration...")
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agents = AgentTeam(
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agents=[reflection_agent],
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tasks=[reflection_task],
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process="sequential",
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output="verbose",
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)
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result = agents.start()
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print(f"\nSelf-Reflection Result: {str(result)[:200]}...")
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print("\n✅ Self-reflection optimization complete!")
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print("Agent demonstrated iterative improvement through built-in self-reflection capabilities.") |